Jonathan Christopher Mattingly

Research Areas and Keywords

Analysis
Stochastic Analysis, Malliavin Calculus, Ergodic Theory
Biological Modeling
Stochastic and Random PDEs, Stochastic Dynamical Systems, Mathematical Ecology and Evolution, Metabolic and Cellular modeling, Out of equilibrium statistical mechanics
Computational Mathematics
Markov Chain Mixing, Stochastic Numerical Methods, High Dimensional Random Algorithms
PDE & Dynamical Systems
Stochastic and Random PDEs, Stochastic Dynamical Systems, Malliavin Calculus, Fluid Mechanics, Approximating invariant measures
Physical Modeling
Stochastic and Random PDEs, Stochastic Dynamical Systems, Fluid Mechanics
Probability
Stochastic and Random PDEs, Stochastic Dynamical Systems, Stochastic Analysis, Malliavin Calculus, Markov Chain Mixing, Ergodic Theory, High Dimensional Random Algorithms, Probability on stratified spaces, Out of equilibrium statistical mechanics, Approximating invariant measures

Jonathan Christopher  Mattingly grew up in Charlotte, NC where he attended Irwin Ave elementary and Charlotte Country Day.  He graduated from the NC School of Science and Mathematics and received a BS is Applied Mathematics with a concentration in physics from Yale University. After two years abroad with a year spent at ENS Lyon studying nonlinear and statistical physics on a Rotary Fellowship, he returned to the US to attend Princeton University where he obtained a PhD in Applied and Computational Mathematics in 1998. After 4 years as a Szego assistant professor at Stanford University and a year as a member of the IAS in Princeton, he moved to Duke in 2003. He is currently a Professor of Mathematics and of Statistical Science.

His expertise is in the longtime behavior of stochastic system including randomly forced fluid dynamics, turbulence, stochastic algorithms used in molecular dynamics and Bayesian sampling, and stochasticity in biochemical networks.

He is the recipient of a Sloan Fellowship and a PECASE CAREER award.  He is also a fellow of the IMS and the AMS.

Education & Training
  • Ph.D., Princeton University 1998

  • M.A., Princeton University 1996

  • B.S., Yale University 1992

Herzog, D. P., and J. C. Mattingly. “A practical criterion for positivity of transition densities.” Nonlinearity, vol. 28, no. 8, July 2015, pp. 2823–45. Scopus, doi:10.1088/0951-7715/28/8/2823. Full Text Open Access Copy

Lawley, S. D., et al. “Stochastic switching in infinite dimensions with applications to random parabolic PDE.” Siam Journal on Mathematical Analysis, vol. 47, no. 4, Jan. 2015, pp. 3035–63. Scopus, doi:10.1137/140976716. Full Text Open Access Copy

Huckemann, S., et al. “Sticky central limit theorems at isolated hyperbolic planar singularities.” Electronic Journal of Probability, vol. 20, Jan. 2015. Scopus, doi:10.1214/EJP.v20-3887. Full Text Open Access Copy

Munch, E., et al. “Probabilistic Fréchet means for time varying persistence diagrams.” Electronic Journal of Statistics, vol. 9, Jan. 2015, pp. 1173–204. Scopus, doi:10.1214/15-EJS1030. Full Text Open Access Copy

Herzog, David P., and Jonathan Christopher Mattingly. Noise-Induced Stabilization of Planar Flows II. Apr. 2014. Open Access Copy

Mattingly, J. C., and E. Pardoux. “Invariant measure selection by noise. An example.” Discrete and Continuous Dynamical Systems  Series A, vol. 34, no. 10, Jan. 2014, pp. 4223–57. Scopus, doi:10.3934/dcds.2014.34.4223. Full Text Open Access Copy

Lawley, S. D., et al. “Sensitivity to switching rates in stochastically switched ODEs.” Communications in Mathematical Sciences, vol. 12, no. 7, Jan. 2014, pp. 1343–52. Scopus, doi:10.4310/CMS.2014.v12.n7.a9. Full Text Open Access Copy

Mattingly, Jonathan C., and Christy Vaughn. “Redistricting and the Will of the People.” Arxiv Preprint Arxiv:1410.8796, 2014. Open Access Copy

Hotz, Thomas, et al. “Sticky central limit theorems on open books.” The Annals of Applied Probability, vol. 23, 2013, pp. 2238–58. Manual, doi:10.1214/12-AAP899. Full Text Open Access Copy

Pages

Gerrymandering Workshop @ Duke

Geometry of Redisctricting Conference (Nov 2-3) and Workshop (Nov 4-5) will be held at The Searle Center. For additional information, please follow this link: https://sites.duke.edu/... read more »


Team Gerrymandering

Team gerrymandering, led by Professor Jonathan Mattingly, feature their latest works in a new webpage: https://www.math.duke.edu/projects/gerrymandering/.... read more »


Math Professor Jonathan Mattingly

Bracket math isn’t an exact science, but for years mathematicians have told us that the odds of picking a perfect NCAA tournament bracket are a staggering 1 in 9,223,372,036,854,775,808 (that’s 9.2 quintillion). According to Duke math... read more »


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